Yang Hao, Zhao Kankan, Kang Houlong, Wang Mengchuan, Wu Aiguo
General Surgery Department, Zhujiang Hospital, Southern Medical University/The Second School of Clinical Medicine, Guangzhou, Guangdong, China.
Medicine (Baltimore). 2020 Apr;99(14):e19561. doi: 10.1097/MD.0000000000019561.
Breast cancer is one of the most common malignancies in women worldwide. Many studies have shown that tumor microenvironment cells, immune cells, and stromal cell infiltration have an important impact on prognosis, so it is important to identify biomarkers for achieving better treatment and prognosis.To better understand the relationship between immune and stromal cell-related genes and prognosis, we screened patients with breast cancer in The Cancer Genome Atlas (TCGA) database and divided them into high and low groups based on immune/stromal scores. We next identified differentially expressed immune-related genes that are significantly associated with the prognosis of patients with breast cancer for functional enrichment analysis and protein-protein interaction networks, respectively. Finally, we selected a separate breast cancer cohort in gene expression synthesis (GEO) for validation.Both immune scores and stromal scores are meaningful in the correlation of subtype classification. Disease-free survival of cases with the high score group of immune scores is statistically longer than the cases in the low score group. Differentially expressed immune-related genes extracted from the comparison can effectively evaluate the prognosis of patients with breast cancer and these genes are primarily involved in immune responses, extracellular matrix, and chemokine activity. At last, we obtained a series of verified tumor immune-related genes that predict the prognosis of patients with breast cancer.Combining the Estimation of Stromal and Immune Cells in Malignant Tumor Tissues using Expression database and the TCGA database to extract the list of tumor microenvironment related genes which may help to outline the prognosis of patients with breast cancer. Some previously overlooked genes have the potential to become additional biomarkers for breast cancer. Further research on these genes can reveal a new understanding of the potential relationship between tumor microenvironment and breast cancer prognosis.
乳腺癌是全球女性中最常见的恶性肿瘤之一。许多研究表明，肿瘤微环境细胞、免疫细胞和基质细胞浸润对预后有重要影响，因此识别生物标志物对于实现更好的治疗和预后至关重要。为了更好地理解免疫和基质细胞相关基因与预后之间的关系，我们在癌症基因组图谱（TCGA）数据库中筛选了乳腺癌患者，并根据免疫/基质评分将他们分为高分组和低分组。接下来，我们分别鉴定了与乳腺癌患者预后显著相关的差异表达免疫相关基因，用于功能富集分析和蛋白质-蛋白质相互作用网络分析。最后，我们在基因表达综合数据库（GEO）中选择了一个独立的乳腺癌队列进行验证。免疫评分和基质评分在亚型分类的相关性中均具有意义。免疫评分高分组病例的无病生存期在统计学上长于低分组病例。从比较中提取的差异表达免疫相关基因可以有效评估乳腺癌患者的预后，这些基因主要参与免疫反应、细胞外基质和趋化因子活性。最后，我们获得了一系列经过验证的肿瘤免疫相关基因，可预测乳腺癌患者的预后。利用表达数据库和TCGA数据库结合恶性肿瘤组织中基质和免疫细胞的评估，提取肿瘤微环境相关基因列表，这可能有助于勾勒乳腺癌患者的预后。一些先前被忽视的基因有可能成为乳腺癌的额外生物标志物。对这些基因的进一步研究可以揭示对肿瘤微环境与乳腺癌预后潜在关系的新认识。
